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Shared knowledge cache for AI agents to search smarter and reduce token waste.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "gingsisi/AgentsHive" yet — see the docs or source repo.
Use agenthive_search to find “2024 performance comparisons of major vector databases,” prioritizing cached results and showing trust scores and duplicate status.
A deduplicated result list with summaries, sources, trust scores, and cache hit status.
Use agenthive_contribute to add these notes on MCP best practices into the shared knowledge base, including source links, topic tags, and a credibility note.
The tool stores the entry and returns status on deduplication, categorization, and reuse readiness for other agents.
Use agenthive_stats to report the last 7 days of search volume, cache hit rate, duplicate merges, and Human Bridge request counts.
A summary of repository activity and efficiency metrics to evaluate cache value and human-support needs.
Let AI agents search the web and extract content with caching and rendering.
Search the live web collaboratively and return cited, cache-first answers for agents.
Lets AI agents run unified web, GitHub, and GitLab searches efficiently.
Lets AI search web, GitHub, and GitLab with reranking and fallback.
Shared project wiki for AI agents to manage pages, actions, and logs.
Let AI agents search an ArXiv paper knowledge base with natural language.